Thordis Thorarinsdottir started as Associate Professor at the Section of Statistics and Data Science March 1st this year. She was previously employed at the Norwegian Computer Centre 2012-2023, and before that Research Assistant Professor at Heidelberg University and Postdoc at University of Washington and at University of Aarhus. Her research is within the fields of spatial and space-time statistics, Bayesian methods and forecasting. She works on environmental applications together with atmospheric scientists and hydrologists to solve problems on uncertainty quantification, probabilistic prediction and model evaluation.
Thordis L. Thorarinsdottir: Statistical modelling of environmental extremes
Estimates of environmental extremes are needed for a multitude of applications. For example, buildings, roads, bridges and dams must be designed to withstand extreme precipitation and flooding events of a certain size. Obtaining such estimates requires a combination of statistical theory and environmental process understanding to overcome data deficiencies: data on extremes are by definition sparse and regulations often require estimates for events that have yet to be observed. We will present approaches to obtain consistent estimates across spatial locations and accumulation periods, and discuss a few open questions on this topic.
Published Feb. 20, 2023 5:18 PM
- Last modified Oct. 10, 2023 10:52 AM